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cs.AI2021
A Deep Graph Reinforcement Learning Model for Improving User Experience in Live Video Streaming
Stefanos Antaris, Dimitrios Rafailidis, Sarunas Girdzijauskas
In this paper we present a deep graph reinforcement learning model to predict and improve the user experience during a live video streaming event, orchestrated by an agent/tracker.…
cs.AI2021
Multi-Task Learning for User Engagement and Adoption in Live Video Streaming Events
Stefanos Antaris, Dimitrios Rafailidis, Romina Arriaza
Nowadays, live video streaming events have become a mainstay in viewer's communication in large international enterprises. Provided that viewers are distributed worldwide, the main…
cs.AI2020
VStreamDRLS: Dynamic Graph Representation Learning with Self-Attention for Enterprise Distributed Video Streaming Solutions
Stefanos Antaris, Dimitrios Rafailidis
Live video streaming has become a mainstay as a standard communication solution for several enterprises worldwide. To efficiently stream high-quality live video content to a large…